Data Modeler II

Reposted Yesterday
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Mumbai, Maharashtra
In-Office
Mid level
Big Data • Marketing Tech • Analytics
The Role
The Data Modeler II will apply data mining techniques and statistical analysis, building prediction systems and supporting business teams to enhance decision-making.
Summary Generated by Built In
Company Description

Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decision and succeed, lenders lend more responsibly, and organisations prevent identity fraud and crime. For more than 125 years, we've helped consumers and clients prosper, and economies and communities flourish – and we're not done. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, experienced people and new ideas so we can help create a better tomorrow.

Job Description

We are looking for a Data Modeller to help us unlock our vast amounts of data with modelling and advanced analytics, allowing us to make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems and automated scores using machine learning, integrated with our products. You will also support our business teams, pre-sales and analytics to ensure product creation.

Suited to someone who has 3 to 4 years' experience core analytics function of a large bank / consulting firm and with experience handling large data volumes using data analysis tools and generating good data insights.

What you'll do

  • Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client.
  • You'll play an important role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solution
  • You will Use analysis and customer insights to develop value propositions for customers

Qualifications

What you'll need to bring to the party

  • Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.
  • Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree
  • Decent understanding and hands-on of statistical modelling/data analysis tools especially Python, Pyspark or SAS and market trends
  • Applied statistics skills, such as distributions, statistical testing, regression etc.
  • Understanding of decisioning and portfolio management in banking and financial services would be added advantage
  • Understanding of credit bureau would be an added advantage

Additional Information

Benefits package includes:

  • Great compensation package.
  • Core benefits include, Group mediclaim Insurance, Sharesave scheme and more!
  • 25 days annual leave & 10 sick leaves.
  • Car Lease policy 

Role Location: Mumbai

Experian is an equal opportunities employer

#LI-Onsite

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Top Skills

Machine Learning
Pyspark
Python
SAS
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The Company
HQ: Costa Mesa, CA
16,292 Employees
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity.

We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime.

For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.

Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.


About Experian:

Bringing data to life requires creativity, passion, flexibility and expertise.

We want you to share in our success. That's why we offer rewards that recognise great performance.

Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career.

Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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